2021
Parametric Spectral Filters for Fast Converging, Scalable Convolutional Neural Networks
ICASSP 2021accepted
Using spectral multiplication to compute convolution in neural networks has been investigated by a number of researchers because of its potential in speeding up computations for large images. However, previous methods require the learning of arbitrarily large convolution filters in the spectral doma…